Research on Cross-Sensor Remote Sensing Image Super-Resolution Method Based on Diffusion Models by Ru Miao, Kai Yang, Ke Zhou, Jia Song, Shihao Fu, Cong Liu, Yuanxing Wang

“…In remote sensing image (RSI) super-resolution (SR), traditional deep learning methods have made remarkable progress. However, these methods struggle to handle the complex mapping between cross-sensor images. …”
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Adaptive Voxel-Division Method of GNSS Water Vapor Tomography and Its Application in Data Assimilation by Yongjie Ma, Qingzhi Zhao, Duoduo Jiang, Wanqiang Yao, Yibin Yao, Jinfang Yin, Hongwu Guo, Yuan Zhai, Ying Xu, Ruikun Wang, Qingfang Chen, Jingyu Zhang

“…The optimal horizontal and vertical steps of water vapor tomography are determined by introducing the principles of maximum grid coverage and the equal amount of layered water vapor. In addition, a two-step variational assimilation method has been developed to address the limitation of existing NWP models without a direct interface for assimilating GNSS water vapor tomographic results. …”
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Unsupervised learning-based panoramic unfolded image stitching method for rock mass borehole wall by XIAO Yu, LI Zehao, WANG Chao

“…The stitching seams exhibited almost no visible artifacts, improving the overall quality and visual effect of the stitched images. The method outperforms other mainstream image stitching approaches in terms of Root Mean Square Error (RMSE), Peak Signal-to-Noise Ratio (PSNR) in overlapping regions, and Structural Similarity (SSIM) index, significantly enhancing the stitching accuracy of panoramic unfolded images of rock mass borehole walls.…”
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Research on Correction Method of pin-by-pin Homogenization Environmental Effect of PWR Based on Machine Learning by LI Tianya1, 2, , LUO Qi3, , YAO Dong2, HE Caiyun1, CHAI Xiaoming2, CAI Yun2, ZHANG Bin2, ZHANG Hongbo2, LIAO Hongkuan1, DUAN Yongqiang1

“…Among the high-fidelity numerical calculation methods in reactor physics, the pin-by-pin two-step method may strike a balance between calculation precision and calculation cost, and is currently a practical and viable high-fidelity numerical calculation method. …”

A Ship’s Maritime Critical Target Identification Method Based on Lightweight and Triple Attention Mechanisms by Pu Wang, Shenhua Yang, Guoquan Chen, Weijun Wang, Zeyang Huang, Yuanliang Jiang

“…To address these issues, this paper proposes a novel maritime target recognition method called DTI-YOLO (DualConv Triple Attention InnerEIOU-You Only Look Once). …”
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Development of high-performance thin-layer chromatography method for herbals identification in extemporaneous oral solution by K. O. Khokhlova, O. A. Zdoryk

“…Since there is no single analytical method that ideally suited for all drugs, for each formulation depend on its composition and analytical goal, appropriate quality control methods should be developed. …”
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A Deep-Learning-Based Detection Method for Small Target Tomato Pests in Insect Traps by Song Wang, Daqing Chen, Jianxia Xiang, Cong Zhang

“…Experimental results show that our method can accurately detect three insects: whitefly (WF), macrolophus (MR), and nesidiocoris (NC) in the yellow sticky trap images of tomato crops. …”
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Image based quantification method reveals differential patterns of lip desquamation associated with age and sex by Hanji Kim, Jung Yeon Seo, Sangseob Leem, Seung Won You, Yunkwan Kim, Nae Gyu Kang

“…Given the current ease of acquiring image data, our image-based method has the potential to advance the lip skin research.…”
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A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency by Yinxia Cao, Xin Huang, Qihao Weng

“…Existing weakly-supervised methods often leverage low-level visual or high-level semantic features from networks to generate supervision information for unlabeled pixels, which can easily lead to the issue of label noises. …”
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EXPLORING OF ACID-BASIC PROPERTIES, DEVELOPMENT AND VALIDATION OF THE METHOD OF QUANTITATIVE DETERMINATION OF ORIGINAL PHARMACEUTICAL SUBSTANCE by G. M. Alekseeva, V. F. Apraksin, Yu. E. Generalova

“…The analyzed compound is a salt of a weak dibasic acid, which exhibits basic properties in an aqueous solution; therefore, for its quantitative determination, a direct acid-base titration method (acidimetry) was proposed. The method of quantitative determination of the active compound in the substance 4,4’-(propandiamido) sodium dibenzoate will be used in future studies for routine analysis, therefore a visual (indicator) method for determining the end point of the titration has been chosen. …”
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Relationship Between the Nasopharyngeal Swab Sampling Method, Nasal Obstruction, and SARS-Cov-2 Positivity by Dogan Cakan, Zeliha Kubra Cakan, Semih Usaklioglu, Yetkin Zeki Yilmaz, Omer Uysal, Hasan Ahmet Ozdogan

“…In this context, we investigated the effect of the nasopharyngeal swab sampling method and the presence of nasal obstruction on the detection of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).Methods:This prospective clinical study was conducted from March 2021 to January 2022. …”
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Prevalence of sarcocystis infection in slaughtered ruminants at Rasht abattoir: A comparative study of digestive and macroscopic methods by Bijhan Heyrati, Omid Mohammadpour, Sohrab Rasouli, Hasti Pourmirzaei

“…This study aimed to determine the prevalence of Sarcocystis species infections in slaughtered ruminants (cattle, sheep, and goats) at the Rasht abattoir, Iran, using the digestive method. A total of 606 samples (tongue, esophagus, heart, diaphragm and, skeletal muscle (gluteal muscle)) were examined visually for the presence of macrocysts at the Rasht industrial slaughterhouse. …”
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Integrating visual memory for image captioning by Jiahui Wei, Tongtong Wu

“…In order to obtain meaningful long- and short-term memory vectors, we designed sophisticated learning methods for them individually. We also design a Memory Enhanced Encoder (MEE) based on the Transformer-Encoder to capture long-term and short-term memory vectors at each layer to learn robust visual representations. …”
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The Analysis of Complex Networks with Dynamic Graph Visualization by S. N. Pupyrev, A. V. Tikhonov

“…We show how to modify force-directed algorithms for the dynamic graphs. The proposed method is applied for visualization of several social networks. …”
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The Visual Illusion in American Contemporary Ceramics by muhanad A Ghanim, Zainab kadhim salih

“…The aim of the research was to identify visual illusions in visual art in the works of a selected group of American potters. …”
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Semantics of visual models in space research by V. P. Savinykh, S. G. Gospodinov, S. A. Kudzh, V. Ya. Tsvetkov, I. P. Deshko

“…This allows for information to be transferred from different visual models to a synthetic resulting visual model.Methods. …”
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Dynamic ultrasonic visualization of blood vessels and flows by Andrzej NOWICKI, John M. REID

“…This paper describes a new method for dynamic real-time visualization of blood flows. …”
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The Effect of Visualization on Students’ Understanding of Probability Concepts by John M. Vargas, Jeffrey J. Starns, Andrew L. Cohen, Darrell Earnest

“…This study leverages the findings of prior research on facilitating Bayesian reasoning by utilizing a visualization, called the bar display, as a method for teaching Bayes theorem and its underlying probability concepts. …”
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Attempts at the ultrasonic visualization of the heart in real time by Leszek FILIPCZYŃSKI, Jan SAŁKOWSKI

“…In recent years several papers have been published aimed at the visualization of the heart by means of an ultrasonic method giving a geometrical picture of the distribution of tissues in a selected area of examination.…”
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Review of malware detection and classification visualization techniques by Jinwei WANG, Zhengjia CHEN, Xue XIE, Xiangyang LUO, Bin MA

“…With the rapid advancement of technology, network security faces a significant challenge due to the proliferation of malicious software and its variants.These malicious software use various technical tactics to deceive or bypass traditional detection methods, rendering conventional non-visual detection techniques inadequate.In recent years, data visualization has gained considerable attention in the academic community as a powerful approach for detecting and classifying malicious software.By visually representing the key features of malicious software, these methods greatly enhance the accuracy of malware detection and classification, opening up extensive research opportunities in the field of cyber security.An overview of traditional non-visual detection techniques and visualization-based methods were provided in the realm of malicious software detection.Traditional non-visual approaches for malicious software detection, including static analysis, dynamic analysis, and hybrid techniques, were introduced.Subsequently, a comprehensive survey and evaluation of prominent contemporary visualization-based methods for detecting malicious software were undertaken.This primarily encompasses encompassed the integration of visualization with machine learning and visualization combined with deep learning, each of which exhibits distinct advantages and characteristics within the domain of malware detection and classification.Consequently, the holistic consideration of several factors, such as dataset size, computational resources, time constraints, model accuracy, and implementation complexity, is necessary for the selection of detection and classification methods.In conclusion, the challenges currently faced by detection technologies are summarized, and a forward-looking perspective on future research directions in the field is provided.…”
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